ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XT_FA617XT
Geekbench ML Score
2638
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 04:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XT_FA617XT |
| Motherboard | ASUSTeK COMPUTER INC. FA617XT |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1336
249.9 IPS |
|
|
Image Classification (F16)
|
100% |
1328
248.5 IPS |
|
|
Image Classification (I8)
|
99% |
2677
501.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
570
9.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
645
10.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1800
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5228
6.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
4940
5.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
21155
25.6 IPS |
|
|
Object Detection (F32)
|
100% |
1374
102.6 IPS |
|
|
Object Detection (F16)
|
100% |
1348
100.7 IPS |
|
|
Object Detection (I8)
|
62% |
1184
88.4 IPS |
|
|
Face Detection (F32)
|
100% |
2250
26.8 IPS |
|
|
Face Detection (F16)
|
100% |
2528
30.1 IPS |
|
|
Face Detection (I8)
|
89% |
4050
48.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5217
40.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6335
49.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11820
91.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12921
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13082
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
20394
26.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2174
77.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1827
65.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2479
88.5 IPS |
|
|
Text Classification (F32)
|
100% |
1506
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1527
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
353
507.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1604
29.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1801
33.1 IPS |
